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Imageomics Seminar: Shape is data and all data have shape: from leaf morphology to the shape of gene expression across flowering plants
Abstract Embedded in plant morphology is genetic, developmental, and environmental information. Quantifying the plant form and disentangling the effects of these factors potentially allows us to breed better crops, influence growth and yield, and anticipate how plants will respond to a changing...
Prof. Wei-Lun Chao discussed the role of machine learning and computer vision in imageomics
By Tatyana Woodall, Ohio State News A new field promises to usher in a new era of using machine learning and computer vision to tackle small and large-scale questions about the biology of organisms around the globe. The field of imageomics aims to help explore fundamental questions about biological...
Imageomics team releases BioCLIP
By Tatyana Woodall Researchers have developed the largest-ever dataset of biological images suitable for use by machine learning – and a new vision-based artificial intelligence tool to learn from it. The findings in the new study significantly broaden the scope of what scientists can do using...
Imageomics poised to enable new understanding of life
Research on mimicry in butterflies provides one example By Jeff Grabmeier Imageomics, a new field of science, has made stunning progress in the past year and is on the verge of major discoveries about life on Earth, according to one of the founders of the discipline. Tanya Berger-Wolf , faculty...
Berger-Wolf Leads new AI for Biodiversity Change Global Climate Center
Imageomics Institute Director, Prof. Tanya Berger-Wolf will led the AI and Biodiversity Change (ABC) Global Climate Center, a new multimillion dollar international center that will use artificial intelligence to help researchers understand the impacts of climate change on biodiversity. The Center...
